Podcast
Questions and Answers
What characterizes structured data?
What characterizes structured data?
- Is typically text-heavy
- Contains irregularities and ambiguities
- Organized in an unstructured manner
- Adheres to a pre-defined data model (correct)
Which of the following is an example of structured data?
Which of the following is an example of structured data?
- Audio files
- NoSQL databases
- PDF documents
- Excel files (correct)
What makes unstructured data difficult to analyze using traditional programs?
What makes unstructured data difficult to analyze using traditional programs?
- Predefined data model
- Relationship between rows and columns
- Presence of irregularities and ambiguities (correct)
- Conformance to a tabular format
In which context is the ability to analyze unstructured data especially relevant?
In which context is the ability to analyze unstructured data especially relevant?
What type of data includes information like pictures and videos?
What type of data includes information like pictures and videos?
Which of the following is NOT an example of unstructured data?
Which of the following is NOT an example of unstructured data?
What is the term used to refer to the columns in a dataset?
What is the term used to refer to the columns in a dataset?
Which of the following is NOT a synonym for an attribute in a dataset?
Which of the following is NOT a synonym for an attribute in a dataset?
In data analysis, what do rows correspond to in a dataset?
In data analysis, what do rows correspond to in a dataset?
Which type of variable can only take on specific, distinct values with no intermediate values possible?
Which type of variable can only take on specific, distinct values with no intermediate values possible?
What is another term for a data object in a dataset?
What is another term for a data object in a dataset?
In the context of data analysis, what does a field represent?
In the context of data analysis, what does a field represent?
What is the importance of considering temporal autocorrelation when working with time series data?
What is the importance of considering temporal autocorrelation when working with time series data?
Which type of data is an example of spatial data according to the text?
Which type of data is an example of spatial data according to the text?
In the context of spatial data, what does spatial autocorrelation refer to?
In the context of spatial data, what does spatial autocorrelation refer to?
What is a key characteristic of a data structure?
What is a key characteristic of a data structure?
Why is it important to organize and store data efficiently in a computer?
Why is it important to organize and store data efficiently in a computer?
Which aspect of temporal data is crucial for understanding temporal autocorrelation?
Which aspect of temporal data is crucial for understanding temporal autocorrelation?
Flashcards are hidden until you start studying
